Qwen2.5-1M

Qwen2.5-1M

Alibaba From China

The Qwen2.5-1M is an advanced open-source language model that processes context lengths of up to one million tokens. Featuring two variants, Qwen2.5-7B-Instruct-1M and Qw... The Qwen2.5-1M is an advanced open-source language model that processes context lengths of up to one million tokens. Featuring two variants, Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, this model introduces an efficient inference framework leveraging sparse attention methods, achieving 3x to 7x faster processing speeds for extensive inputs.

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Why Qwen as a Qwen2.5-1M alternative?

  • Qwen-72B offers a 72B model size
  • Qwen-7B caps max length at 32K rather than Qwen2.5-1M's 1M tokens
  • Qwen-14B limits max length to 8K versus 1M tokens on Qwen2.5-1M
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Why Qwen2.5-Max as a Qwen2.5-1M alternative?

  • Offers Alibaba Cloud API access, unlike Qwen2.5-1M's open checkpoints
  • Provides OpenAI-API compatible access
  • Is a large-scale MoE model, compared with Qwen2.5-1M's 7B and 14B models
  • Runs in Qwen Chat
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Company Information

  • Company: Alibaba
  • Country: China

Top Qwen2.5-1M Features

  • Open-source model availability
  • Supports 1 million tokens
  • Qwen2.5-7B-Instruct-1M model
  • Qwen2.5-14B-Instruct-1M model
  • Efficient inference framework
  • Sparse attention integration
  • 3x to 7x speed improvement
  • Long-context processing capabilities
  • Dual Chunk Attention method
  • Enhanced kernel efficiency
  • Dynamic chunked pipeline parallelism
  • Minimal VRAM usage
  • Instruction-tuned performance
  • Passkey retrieval accuracy
  • Comprehensive technical report
  • Optimized deployment instructions
  • Integration with Qwen-Agent
  • Support for GPU architectures
  • Advanced long-context tasks
  • User-friendly interaction methods

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